Evidence map›Paper›PMID 25150459›Full record

ArticleJournal of theoretical biology2014

Disease risk mitigation: the equivalence of two selective mixing strategies on aggregate contact patterns and resulting epidemic spread.

Benjamin R Morin, Charles Perrings, Simon Levin, Ann Kinzig

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Contact Adaption During Epidemics: A Multilayer Network Formulation Approach.IEEE transactions on network science and engineering · 2019
    Article
  6. Article
  7. Perspectives on the role of mobility, behavior, and time scales in the spread of diseases.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Benjamin R MorinSchool of Life Sciences, Arizona State University, Tempe, AZ, United States; Global Institute of Sustainability, Arizona State University, Tempe, AZ, United States. Electronic address: brmorin@asu.edu.
Charles PerringsSchool of Life Sciences, Arizona State University, Tempe, AZ, United States.
Simon LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States.
Ann KinzigSchool of Life Sciences, Arizona State University, Tempe, AZ, United States; Global Institute of Sustainability, Arizona State University, Tempe, AZ, United States.

Funding

Modeling Anthropogenic Effects in the Spread of Infectious DiseasesR01GM100471 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI PERRINGS, CHARLES · 2011 to 2014
$1.5M
NIGMS NIH HHS 1R01GM100471-01NIGMS NIH HHS R01 GM100471
6 · The paper itself

Abstract

The personal choices affecting the transmission of infectious diseases include the number of contacts an individual makes, and the risk-characteristics of those contacts. We consider whether these different choices have distinct implications for the course of an epidemic. We also consider whether choosing contact mitigation (how much to mix) and affinity mitigation (with whom to mix) strategies together has different epidemiological effects than choosing each separately. We use a set of differential equation compartmental models of the spread of disease, coupled with a model of selective mixing. We assess the consequences of varying contact or affinity mitigation as a response to disease risk. We do this by comparing disease incidence and dynamics under varying contact volume, contact type, and both combined across several different disease models. Specifically, we construct a change of variables that allows one to transition from contact mitigation to affinity mitigation, and vice versa. In the absence of asymptomatic infection we find no difference in the epidemiological impacts of the two forms of disease risk mitigation. Furthermore, since models that include both mitigation strategies are underdetermined, varying both results in no outcome that could not be reached by choosing either separately. Which strategy is actually chosen then depends not on their epidemiological consequences, but on the relative cost of reducing contact volume versus altering contact type. Although there is no fundamental epidemiological difference between the two forms of mitigation, the social cost of alternative strategies can be very different. From a social perspective, therefore, whether one strategy should be promoted over another depends on economic not epidemiological factors.

Indexed as

Disease Transmission, InfectiousModels, BiologicalContact TracingDisease OutbreaksEpidemiologic FactorsHumansIncidenceAsymptomatic infectionLatent infection

Identifiers

PMID25150459
PMCPMC4427033

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.